Marktechpost

OCTOBER 18, 2023

Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications ranging from text generation to code completion. Check out the Reference Page and Project Page.

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Marktechpost

OCTOBER 2, 2023

Some of the latest AI research projects address a fundamental issue in the performance of large auto-regressive language models (LLMs) such as GPT-3 and GPT-4. At present, there is no established method or framework to completely mitigate the Reversal Curse in auto-regressive LLMs. Check out the Paper and Code.

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Marktechpost

JUNE 4, 2023

Applications like Auto-GPT for autonomous task execution have been made possible by Augmented Language Models (ALMs) only. The Worker retrieves external knowledge from tools to provide evidence, and the Solver synthesizes all the plans and evidence to produce the final answer to the initial task to be completed.

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NVIDIA

MARCH 18, 2024

These technologies together enable NVIDIA Avatar Cloud Engine , or ACE, and multimodal language models to work together with the NVIDIA DRIVE platform to let automotive manufacturers develop their own intelligent in-car assistants. Li Auto unveiled its multimodal cognitive model, Mind GPT, in June.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Image and Document Processing Multimodal LLMs have completely replaced OCR.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

By offering real-time translations into multiple languages, viewers from around the world can engage with live content as if it were delivered in their first language. For the complete list of model IDs, see Amazon Bedrock model IDs. After the deployment is complete, you have two options.

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AWS Machine Learning Blog

APRIL 25, 2024

The added benefit of asynchronous inference is the cost savings by auto scaling the instance count to zero when there are no requests to process. SageMaker features and capabilities help developers and data scientists get started with natural language processing (NLP) on AWS with ease.

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Flipboard

NOVEMBER 20, 2023

We also discuss how to transition from experimenting in the notebook to deploying your models to SageMaker endpoints for real-time inference when you complete your prototyping. After confirming your quota limit, you need to complete the dependencies to use Llama 2 7b chat. Llama 2 7b chat is available under the Llama 2 license.

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Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 Research Work on methods that address the challenges of low-resource languages. This… github.com Kite Auto Complete For all the Jupyter notebook fans, Kite code autocomplete is now supported!

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Unite.AI

NOVEMBER 17, 2023

Colossyan Creator is an AI video generator that simplifies the video creation process for content creators, marketers, and small business owners. The AI video platform leverages machine learning and natural language processing to enhance the learning experience for video content creators. I added this as my script.

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Unite.AI

MAY 27, 2024

Recent Advances in Prompt Engineering Prompt engineering is evolving rapidly, and several innovative techniques have emerged to improve the performance of large language models (LLMs). Performance: On various benchmark reasoning tasks, Auto-CoT has matched or exceeded the performance of manual CoT prompting.

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Marktechpost

AUGUST 18, 2024

Language models (LMs) are trained from scratch on this dataset, optimizing auto-regressive log-likelihood. Evaluation involves prompting models with subject and predicate, and assessing object completion accuracy against the knowledge graph. Token tasks and head detectors evaluate hallucination detection performance.

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AssemblyAI

SEPTEMBER 4, 2024

Additional Speech AI models are then used to perform actions such as redacting sensitive information from medical transcriptions and auto-populating appointment notes to reduce doctor burden.  Also consider a company’s uptime reports, customer reviews, and changelogs for a more complete picture of the support you can expect. 

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AWS Machine Learning Blog

JULY 1, 2024

Create a knowledge base To create a new knowledge base in Amazon Bedrock, complete the following steps. For Data source name , Amazon Bedrock prepopulates the auto-generated data source name; however, you can change it to your requirements. You should see a Successfully built message when the build is complete. Choose Next.

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Towards AI

JULY 8, 2024

Bigram Models Simplified Image generated by ChatGPT Introduction to Text Generation In Natural Language Processing, text generation creates text that can resemble human writing, ranging from simple tasks like auto-completing sentences to complex ones like writing articles or stories.

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Marktechpost

NOVEMBER 24, 2024

Transformer architectures have revolutionized Natural Language Processing (NLP), enabling significant language understanding and generation progress. 8B draft model demonstrated a 2x speedup in summarization and text completion tasks. Similarly, the Llama-3.1-8B

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

These models have revolutionized various computer vision (CV) and natural language processing (NLP) tasks, including image generation, translation, and question answering. To make sure that our endpoint can scale down to zero, we need to configure auto scaling on the asynchronous endpoint using Application Auto Scaling.

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AWS Machine Learning Blog

OCTOBER 11, 2023

The decode phase includes the following: Completion – After the prefill phase, you have a partially generated text that may be incomplete or cut off at some point. The decode phase is responsible for completing the text to make it coherent and grammatically correct. The default is 32.

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AWS Machine Learning Blog

OCTOBER 19, 2023

Solution overview Training a custom moderation adapter involves five steps that you can complete using the AWS Management Console or the API interface: Create a project Upload the training data Assign ground truth labels to images Train the adapter Use the adapter Let’s walk through these steps in more detail using the console.

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Marktechpost

DECEMBER 4, 2023

Engineered to enable developers to produce superior code with greater efficiency, Copilot operates on the foundation of OpenAI’s Codex language model. This model is trained on both natural language and a broad database of public code, allowing it to offer insightful suggestions.

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Marktechpost

MAY 3, 2024

Engineered to enable developers to produce superior code with greater efficiency, Copilot operates on the foundation of OpenAI’s Codex language model. This model is trained on both natural language and a broad database of public code, allowing it to offer insightful suggestions.

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Robot Writers AI

JANUARY 14, 2024

In future decades, when the AI takeover is complete — no joke — some of us will look back and ask: How did this all begin? Automated Opinion Writing As-a-Service: Now a Thing: Wired Reports that new tech has emerged to auto-generate tweets, articles and Web sites to counter an opposing viewpoint.

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AWS Machine Learning Blog

APRIL 17, 2024

For instance, this solution can highlight that delays at a parts supplier may disrupt production for downstream auto manufacturers in a portfolio though none are directly referenced. The web application auto refreshes every 1 second to pull out the latest set of processed news to display on the web application.

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AWS Machine Learning Blog

SEPTEMBER 25, 2023

Large language models (LLMs) used to generate text sequences need immense amounts of computing power and have difficulty accessing the available high bandwidth memory (HBM) and compute capacity. The following diagram shows the dynamic batching of requests with different input sequence lengths being processed together by the model.

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AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. jpg and the complete metadata from styles/38642.json. From here, we can fetch the image for this product from images/38642.jpg

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Unite.AI

SEPTEMBER 13, 2024

Kernel Auto-tuning : TensorRT automatically selects the best kernel for each operation, optimizing inference for a given GPU. These techniques allow TensorRT-LLM to optimize inference performance for deep learning tasks such as natural language processing, recommendation engines, and real-time video analytics.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. For example, metadata can be used for filtering and searching. append(e["Text"].upper())

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AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. Set up your environment To set up your environment, complete the following steps: Launch a SageMaker notebook instance with a g5.xlarge xlarge instance.

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AssemblyAI

SEPTEMBER 18, 2023

Original natural language processing (NLP) models were limited in their understanding of language. LeMUR is a framework for applying LLMs to spoken language. Benefits of Using an LLM LLMs might seem like a nice-to-have right now, but they'll eventually become integral to our day-to-day processes and systems.

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Unite.AI

DECEMBER 11, 2023

Trusted by over 100,000 companies, Speak AI is a Toronto-based advanced transcription tool that uses artificial intelligence and natural language processing (NLP) to convert unstructured language data, such as important audio files, into text data. What is Speak AI?

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AWS Machine Learning Blog

AUGUST 5, 2024

In recent years, we have seen a big increase in the size of large language models (LLMs) used to solve natural language processing (NLP) tasks such as question answering and text summarization. Introduction Modern language models are based on the transformer architecture. compared to 76.4).

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AWS Machine Learning Blog

MAY 3, 2023

Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and data quality and often cardinality of a certain column (in the case of structured data) might play a significant role in the complexity of the feature engineering process.

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Marktechpost

AUGUST 6, 2023

Existing text can now be improved using the AI Text Tools’ capabilities for auto-correction, auto-completion, tone alterations, and text regeneration. The in-editor AI Translator found in Beehives AI makes it easy to localize your material into different languages.

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AWS Machine Learning Blog

MAY 12, 2023

To get started, complete the following steps: On the File menu, choose New and Terminal. Use CodeWhisperer in Studio After we complete the installation steps, we can use CodeWhisperer by opening a new notebook or Python file. To get started, complete the following steps: On the File menu, choose New and Terminal.

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Becoming Human

MARCH 16, 2023

The applications of graph classification are numerous, and they range from determining whether a protein is an enzyme or not in bioinformatics to categorizing documents in natural language processing (NLP) or social network analysis, among other things. In order to create a complete GCN, we can combine one or more layers.

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AWS Machine Learning Blog

MARCH 28, 2024

When you create an AWS account, you get a single sign-on (SSO) identity that has complete access to all the AWS services and resources in the account. Signing in to the AWS Management Console using the email address and password that you used to create the account gives you complete access to all the AWS resources in your account.

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AWS Machine Learning Blog

JUNE 15, 2023

When the job is complete, the parallel data status shows as Active and is ready to use. Run asynchronized batch translation using parallel data The batch translation can be conducted in a process where multiple source documents are automatically translated into documents in target languages.

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